Mesh-based image warping techniques typically represent image deformation using linear functions on triangular meshes or bilinear functions on rectang...

We present a lightweight and efficient semi-supervised video object segmentation network based on the space-time memory framework. To some extent, our...

The lack of fine-grained 3D shape segmentation data is the main obstacle to developing learning-based 3D segmentation techniques. We propose an effect...

While a popular representation of 3D data, point clouds may contain noise and need filtering before use. Existing point cloud filtering methods either...

Existing deep unfolding methods unroll an optimization algorithm with a fixed number of steps, and utilize convolutional neural networks (CNNs) to lea...